iPhone 16 Pro Max
Geekbench AI Score
4433
Single Precision Score
32964
Half Precision Score
46007
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Lee449409 |
| Upload Date | December 03 2024 03:18 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1987
369.5 IPS |
|
|
Image Classification (HP)
|
100% |
15883
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
21475
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18178
294.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24030
389.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8455
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
152110
177.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292941
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2096
166.2 IPS |
|
|
Object Detection (HP)
|
100% |
16273
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22444
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3537
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
42008
499.1 IPS |
|
|
Face Detection (Q)
|
100% |
58065
689.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7600
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95304
734.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160959
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23465
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245327
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302344
390.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5515
203.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50159
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84043
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4623
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4608
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3748
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9310
160.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11443
197.7 IPS |
